Technical Implementation Analyst

RLDatix•Remote,

About The Position

As an Analyst within RLDatix’s Professional Services team, you will deliver tailored technical solutions for diverse customer requirements, using developing expertise in system architecture, programming, and integration. You will collaborate with colleagues on AI-assisted workflows, complex data migrations, and custom development projects under established guidance. The role involves diagnosing and resolving technical issues, participating in quality assurance, and applying financial acumen to project activities. You will also help create scalable service delivery components and build stakeholder partnerships to support high-quality, customer-focused outcomes. Joining the team provides a foundation for technical career growth, with hands-on experience delivering customer solutions such as custom integrations, data migrations, and UX/UI enhancements. You will work in a collaborative, innovation-driven environment, gain exposure to varied technologies, and build skills in solution architecture and platform extension. The role offers opportunities to develop technical and problem-solving capabilities and progress within the Customer Operations structure.

Requirements

Ability to deliver application software installations, integrations, software upgrades, application migrations, and database migrations.
Ability to lead technical implementation and data conversion projects (ETL) for customers transitioning to RLDatix platforms.
Proficiency with T-SQL and ability to create complex SQL queries to view and manipulate data in a SQL Server database.
Experience working with Microsoft Windows Server operating systems and IIS to support or implement software.
Proficiency in creating, updating, and reviewing XML, CSV, and JSON files.
Firm understanding of LDAP and Federated Authentication (SAML) models.
General understanding of the Extract, Transform, and Load (ETL) process.
Knowledge of networking concepts, including protocols, ports, VPN, routing, and firewalls.
Ability to apply core technical knowledge to develop functional code modules, participate in system testing, and support scalable service components.
Experience using established methods and diagnostic tools to identify, examine, and resolve routine technical issues impacting team operations.
Ability to build collaborative relationships and understand diverse stakeholder needs to support tailored service delivery initiatives.
Understanding of AI-assisted service delivery solutions, including supporting automation adoption and creating streamlined workflows for routine customer needs.
Ability to use financial data to examine project costs and support project budgeting through basic cost-benefit justifications.

Nice To Haves

Project management certification or education, such as ITIL, Lean Six Sigma, Scrum, or Agile.
AWS certification, such as Foundational, Associate, or Specialty.
General understanding of the HL7 message protocol used to transmit ADT messages.
Experience with FHIR.
Experience with a scripting language such as JavaScript, Python, or PowerShell.

Responsibilities

Apply established technical methods to deliver complex customer solutions aligned with routine customer needs.
Support custom development by identifying recurring service delivery challenges and translating them into practical solutions.
Carry out assigned deployment and integration tasks in accordance with best practices.
Build collaborative relationships with internal teams and customer representatives to support project objectives and service quality.
Identify stakeholder requirements by listening and responding constructively to technical needs.
Contribute insights to partnership initiatives and support tailored solutions under guidance.
Use diagnostic tools to investigate technical issues and incidents of routine complexity.
Recognize recurring technical faults, support reliable solutions, and escalate non-standard problems for further analysis.
Document resolutions and communicate technical findings to team members.
Use AI-assisted and automated workflows for routine service delivery tasks and identify opportunities to improve efficiency.
Support automation adoption by identifying appropriate use cases and clarifying limitations to immediate teams.
Monitor and report on the effectiveness of AI-driven improvements.
Build and test functional code modules using core technical knowledge.
Participate in system validation, regression testing, and quality assurance.
Support installation engineering and technical validation, following established protocols and escalating issues when necessary.
Deliver application software installations, integrations, upgrades, application migrations, and database migrations.
Lead technical implementation and ETL data conversion projects to support customer transitions to RLDatix platforms.
Use financial data to examine project costs and support project budgeting, including basic cost-benefit justifications.